CN111078466B - Sensor data loss analysis method and system - Google Patents

Abstract

The invention provides a sensor data loss analysis method and a system, wherein the method comprises the steps of obtaining sensor data, wherein the sensor data comprises a timestamp and a serial number which are added during transmission among nodes; sorting the sensor data according to the time stamps, calculating a serial number difference value of two adjacent sensor data according to a sorting result, and judging whether the serial number difference value is equal to a first preset threshold value or not; if the serial number difference value is not equal to the first preset threshold value, judging that an interruption point exists between the previous sensor data and the next sensor data, and dividing the absolute value of the serial number difference value by the serial number of the next sensor data to calculate a quotient; comparing the quotient value with a second preset threshold value to judge the type of the interruption point; therefore, the data loss point can be quickly found from the break point by analyzing the break point, so that the efficiency of data statistics is improved.

Description

Sensor data loss analysis method and system

technical field

The invention relates to the technical field of data processing, in particular to a sensor data loss method, a computer-readable storage medium, a computer device and a sensor data loss analysis system.

Background technique

In related technologies, sensor data is generally transmitted through network transmission protocols, but any abnormal link in the transmission process may cause data loss and affect system reliability. How to quickly find the location of lost data is particularly important; the existing Only one timestamp and serial number are added to the data, and by sorting the timestamps, when the data is lost, the data interruption point is found by sorting and manually judged whether the interruption point is a loss point, so as to calculate the loss amount. It is time-consuming and laborious to judge whether the interruption point is a lost point, resulting in low statistical efficiency.

Contents of the invention

The present invention aims to solve one of the technical problems in the above-mentioned technologies at least to a certain extent. Therefore, an object of the present invention is to propose a sensor data loss analysis method, which can quickly find the data loss point from the interruption point by analyzing the interruption point, thereby improving the efficiency of data statistics.

A second object of the present invention is to propose a computer-readable storage medium.

A third object of the present invention is to propose a computer device.

In order to achieve the above purpose, the embodiment of the first aspect of the present invention proposes a sensor data loss analysis method, including the following steps: acquiring sensor data, wherein the sensor data includes a time stamp and a serial number added during transmission between nodes; Sorting the sensor data according to the time stamp, and calculating the serial number difference between two adjacent sensor data according to the sorting result, and judging whether the serial number difference is equal to a first preset threshold; if the serial number difference is value is not equal to the first preset threshold, then it is judged that there is an interruption point between the previous sensor data and the subsequent sensor data, and the serial number difference is taken as an absolute value and divided by the serial number of the latter sensor data, to calculate a quotient; and comparing the quotient with a second preset threshold to determine the type of the interruption point.

According to the sensor data loss analysis method of the embodiment of the present invention, by acquiring the sensor data, wherein the sensor data includes the time stamp and serial number added when transmitting between nodes; then sorting the sensor data according to the time stamp, and calculating The serial number difference between two adjacent sensor data, and judge whether the serial number difference is equal to the first preset threshold; if the serial number difference is not equal to the first preset threshold, then judge the previous sensor data and the next sensor data There is an interruption point between them, and the serial number difference is taken as the absolute value and divided by the serial number of the next sensor data to calculate the quotient value; then the quotient value is compared with the second preset threshold to determine the type of the interruption point; Therefore, by analyzing the interruption point, the data loss point can be quickly found from the interruption point, thereby improving the efficiency of data statistics.

In addition, the sensor data loss analysis method proposed according to the above-mentioned embodiments of the present invention may also have the following additional technical features:

Optionally, when the sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added.

Optionally, when the sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added, specifically: collecting sensor data, and adding a corresponding time stamp and serial number for each piece of sensor data, adding The time stamp and serial number are put together at the end of the sensor data; the sensor data is transmitted to the main control board, and a corresponding time stamp and serial number are added for each piece of sensor data, and the time stamp and the serial number are put together At the end of the sensor data; transmit the sensor data to the platform, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number at the end of the sensor data.

Optionally, comparing the quotient with a second preset threshold to determine the type of the interruption point includes: if the quotient is greater than the second preset threshold, judging that the interruption point is A restart point; if the quotient is less than or equal to the second preset threshold, it is judged that the interruption point is a lost point.

In order to achieve the above purpose, the embodiment of the second aspect of the present invention proposes a computer-readable storage medium, on which is stored a sensor data loss analysis program, and when the sensor data loss analysis program is executed by a processor, the sensor data loss as described above can be realized Analytical method.

According to the computer-readable storage medium of the embodiment of the present invention, by storing the sensor data loss analysis program, so that the processor implements the sensor data loss analysis method as described above when executing the sensor data loss analysis program, so that by analyzing the interruption point, To quickly find the data loss point from the interruption point, so as to improve the efficiency of data statistics.

In order to achieve the above object, the embodiment of the third aspect of the present invention proposes a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, when the processor executes the computer program , realizing the sensor data loss analysis method as described above.

According to the computer device of the embodiment of the present invention, the computer program that can be run on the processor is stored in the memory, so that when the processor executes the computer program, the sensor data loss analysis method as described above is implemented, so that by analyzing the interruption point, To quickly find the data loss point from the interruption point, so as to improve the efficiency of data statistics.

In order to achieve the above purpose, the embodiment of the fourth aspect of the present invention proposes a sensor data loss analysis system, including: an extraction module for acquiring sensor data, wherein the sensor data includes time stamps and time stamps added during transmission between nodes Serial number; the first calculation module is used to sort the sensor data according to the time stamp, and calculate the serial number difference between two adjacent sensor data according to the sorting result, and judge whether the serial number difference is equal to the first Preset threshold; a second calculation module, configured to judge that there is an interruption point between the previous sensor data and the next sensor data when the serial number difference is not equal to the first preset threshold, and calculate the serial number difference Taking the absolute value and dividing it by the sequence number of the next piece of sensor data to calculate a quotient, and comparing the quotient with a second preset threshold to determine the type of the interruption point.

According to a sensor data loss analysis system according to an embodiment of the present invention, the sensor data is obtained through an extraction module, wherein the sensor data includes a time stamp and a serial number added during transmission between nodes; According to the sorting results, calculate the serial number difference between two adjacent sensor data, and judge whether the serial number difference is equal to the first preset threshold; if the serial number difference is not equal to the first preset threshold, pass The second calculation module judges that there is an interruption point between the previous sensor data and the next sensor data, and divides the serial number difference by taking the absolute value of the serial number of the next sensor data to calculate the quotient value, and the quotient value and the second sensor data Two preset thresholds are compared to determine the type of interruption point.

In addition, the sensor data loss analysis system proposed according to the above-mentioned embodiments of the present invention may also have the following additional technical features:

Optionally, when the sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added.

Optionally, the sensor data loss analysis system also includes a collection module, configured to collect sensor data, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number on the sensor Data tail; the first transmission module is used to transmit the sensor data to the main control board, and add a corresponding time stamp and serial number for each piece of sensor data, and put the time stamp and serial number together in the sensor data Tail: the second transmission module is used to transmit the sensor data to the platform, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number at the end of the sensor data.

Optionally, the second calculating module is further configured to judge that the interruption point is a restart point if the quotient is greater than the second preset threshold; if the quotient is less than or equal to the second preset If a threshold is set, it is judged that the interruption point is a lost point.

Description of drawings

FIG. 1 is a schematic diagram of a sensor data loss analysis process according to an embodiment of the present invention;

2 is a schematic diagram of a sensor data processing flow according to an embodiment of the present invention;

3 is a schematic block diagram of a sensor data loss analysis system according to an embodiment of the present invention;

FIG. 4 is a schematic block diagram of sensor data processing according to an embodiment of the present invention.

Detailed ways

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

The existing method only adds a time stamp and serial number to the data, sorts the time stamps, and when the data is lost, finds the interruption point of the data by sorting and manually judges whether the interruption point is a loss point, so as to calculate the amount of loss. Due to manually judging whether the interruption point is a lost point, it is time-consuming and laborious, resulting in low statistical efficiency; for this reason, according to a sensor data loss analysis method proposed by the present invention, it is found by analyzing a large number of data restart points and data loss points, usually the restart point The change of the data serial number before and after is greater than that of the last data serial number; and the device restart usually occurs after the device has been running for a period of time. At this time, the difference between the serial number of the data collected by the device and the initial serial number For example, "1" is bigger; the serial number carried by the data collected after the device restarts will start from the initial value of the serial number such as "1", so the serial number of the first piece of data after the restart is much smaller than the last one before the restart. The difference between the serial number of the data and the serial number of the first piece of data after restarting, according to this method can accurately find the loss point in the data interruption point, and then carry out accurate statistics on the amount of data loss.

In order to better understand the above technical solutions, the following will describe exemplary embodiments of the present invention in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

FIG. 1 is a schematic diagram of a sensor data loss analysis process according to an embodiment of the present invention; as shown in FIG. 1 , the analysis method of the embodiment of the present invention includes the following steps:

Step 101, acquiring sensor data, wherein the sensor data includes a time stamp and a sequence number added during transmission between nodes.

That is to say, when sensor data is transmitted between any two nodes, time stamp and sequence number need to be added.

As an embodiment, the sensor data of a period of time on the sensor device module is acquired to analyze the data segment, wherein each data on the data segment corresponds to a time stamp and a serial number.

It should be noted that the time stamp refers to the time when the sensor device module or node receives the data, and the current time is added to each piece of data; the serial number refers to the time when the sensor device module or node receives the data A sequence label added to the data in order. The sequence number is used cyclically from the initial value to the maximum value. When the module or node restarts, the sequence number added after the restart will recycle from the initial value, and the maximum value can be defined by yourself. .

Step 102, sort the sensor data according to the time stamp, and calculate the serial number difference between two adjacent sensor data according to the sorting result, and judge whether the serial number difference is equal to the first preset threshold.

That is to say, after acquiring the sensor data, sort the acquired sensor data according to the timestamp added when the sensor device module or node receives the sensor data, and calculate the serial numbers corresponding to two adjacent sensor data according to the sorting result The difference between them, so as to determine whether the difference is equal to the first preset threshold.

As an example, assuming that the initial value of the serial number is set to 1, and the difference between the serial numbers added by two adjacent sensor data is also 1, then calculate the difference between the serial numbers corresponding to two adjacent sensor data. When subtracting the serial number of the next sensor data from the serial number of the previous sensor data, the first preset threshold is -1, and if the serial number of the latter sensor data is subtracted from the serial number, the first preset threshold is 1.

Step 103, if the serial number difference is not equal to the first preset threshold, it is judged that there is an interruption point between the previous sensor data and the next sensor data, and the absolute value of the serial number difference is divided by the sequence of the next sensor data number to calculate the quotient value.

That is to say, if the serial number difference is not equal to the first preset threshold, it is judged that there is a discontinuity between the previous sensor data and the next sensor data, and there is an interruption point, then the serial number difference is divided by the absolute value Serial number of a piece of sensor data to calculate the quotient.

It should be noted that, as an embodiment, the serial number difference may also be divided by the serial number of the next piece of sensor data, and then take the absolute value, so as to calculate the quotient.

As an example, assuming that the initial value of the serial number is set to 1, and the difference between the serial numbers added by two adjacent sensor data is also 1, then if the serial number of the previous sensor data is subtracted from the next When the serial number difference of the serial number of the sensor data is not equal to -1, it is judged that there is a break point between the previous sensor data and the next sensor data, then the absolute value of the serial number difference is divided by the sequence of the next sensor data number to calculate the quotient value; if the serial number difference between the serial number of the next sensor data minus the serial number of the previous sensor data is not equal to 1, it is judged that there is an interruption point between the previous sensor data and the next sensor data , then take the absolute value of the serial number difference and divide it by the serial number of the next piece of sensor data to calculate the quotient.

Step 104, comparing the quotient with a second preset threshold to determine the type of the interruption point.

It should be noted that, if the quotient value is greater than the second preset threshold, it is judged that the interruption point is a restart point; if the quotient value is less than or equal to the second preset threshold, it is judged that the interruption point is a lost point.

As an embodiment, the second preset threshold is set to 1, and if the quotient value is greater than 1, it is judged that the interrupt point is a restart point; if the quotient value is less than or equal to 1, it is judged that the interrupt point is a lost point.

To sum up, according to the sensor data loss analysis method of the embodiment of the present invention, by acquiring sensor data, wherein the sensor data includes the time stamp and serial number added when transmitting between nodes; and then sorting the sensor data by time stamp, And calculate the serial number difference between two adjacent sensor data according to the sorting result, and judge whether the serial number difference is equal to the first preset threshold; if the serial number difference is not equal to the first preset threshold, then judge the previous sensor data There is an interruption point between the sensor data and the next sensor data, and the serial number difference is taken as the absolute value and divided by the serial number of the next sensor data to calculate the quotient value; then compare the quotient value with the second preset threshold to judge The type of interruption point; thus, by analyzing the interruption point, the data loss point can be quickly found from the interruption point, thereby improving the efficiency of data statistics.

In addition, as an example, as shown in Figure 2, a time stamp and a serial number need to be added between any two nodes of sensor data collection and transmission, including the following steps:

Step 201, collect sensor data, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number at the end of the sensor data.

In step 202, the sensor data is transmitted to the main control board, and a corresponding time stamp and serial number are added to each piece of sensor data, and the time stamp and serial number are put together at the end of the sensor data.

In step 203, the sensor data is transmitted to the platform, and a corresponding time stamp and serial number are added to each piece of sensor data, and the time stamp and serial number are put together at the end of the sensor data.

It should be noted that time stamps and serial numbers need to be added at key stages of data collection, transmission, and processing to increase troubleshooting clues when data is lost, thereby facilitating the location of specific stages of data loss.

In addition, the embodiment of the present invention also proposes a computer-readable storage medium on which a sensor data loss analysis program is stored, and when the sensor data loss analysis program is executed by a processor, the above sensor data loss analysis method is implemented.

According to the computer-readable storage medium of the embodiment of the present invention, by storing the sensor data loss analysis program, so that the processor implements the sensor data loss analysis method as described above when executing the sensor data loss analysis program, so that by analyzing the interruption point, To quickly find the data loss point from the interruption point, so as to improve the efficiency of data statistics.

In addition, an embodiment of the present invention also proposes a computer device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the above-mentioned Sensor data loss analysis method.

According to the computer device of the embodiment of the present invention, the computer program that can be run on the processor is stored in the memory, so that when the processor executes the computer program, the sensor data loss analysis method as described above is implemented, so that by analyzing the interruption point, To quickly find the data loss point from the interruption point, so as to improve the efficiency of data statistics.

Fig. 3 is a schematic block diagram of a sensor data loss analysis system according to an embodiment of the present invention; as shown in Fig. 3 , the sensor data loss analysis system of this embodiment includes: an extraction module 301, a first calculation module 302 and a second calculation module 303;

Wherein, the extraction module 301 is used to obtain sensor data, and the sensor data includes a time stamp and a serial number added during transmission between nodes;

The first calculation module 302 is configured to sort the sensor data according to the time stamp, calculate the serial number difference between two adjacent sensor data according to the sorting result, and judge whether the serial number difference is equal to the first preset threshold;

The second calculation module 303 is used to judge that there is a break point between the previous sensor data and the next sensor data when the serial number difference is not equal to the first preset threshold, and divide the serial number difference by the absolute value after taking the absolute value The serial number of the sensor data is used to calculate the quotient value, and the quotient value is compared with a second preset threshold value to determine the type of the interruption point.

As an example, when sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added.

As an embodiment, as shown in FIG. 4, the sensor data loss analysis system further includes: an acquisition module 401, a first transmission module 402 and a second transmission module 403;

The collection module 401 is used to collect sensor data, and add a corresponding time stamp and serial number for each piece of sensor data, and put the time stamp and serial number at the end of the sensor data;

The first transmission module 402 is used to transmit the sensor data to the main control board, and add a corresponding time stamp and serial number for each piece of sensor data, and put the time stamp and serial number at the end of the sensor data;

The second transmission module 403 is configured to transmit the sensor data to the platform, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number at the end of the sensor data.

As an embodiment, the second calculation module 303 is also used to determine that the interruption point is a restart point if the quotient value is greater than a second preset threshold; if the quotient value is less than or equal to the second preset threshold value, then determine that the interruption point is a lost point .

It should be noted that the foregoing explanations about the embodiment of the sensor data loss analysis method are also applicable to the sensor data loss analysis system of this embodiment, and will not be repeated here.

According to a sensor data loss analysis system according to an embodiment of the present invention, the sensor data is obtained through an extraction module, wherein the sensor data includes a time stamp and a serial number added during transmission between nodes; According to the sorting results, calculate the serial number difference between two adjacent sensor data, and judge whether the serial number difference is equal to the first preset threshold; if the serial number difference is not equal to the first preset threshold, pass The second calculation module judges that there is an interruption point between the previous sensor data and the next sensor data, and divides the serial number difference by taking the absolute value of the serial number of the next sensor data to calculate the quotient value, and the quotient value and the second sensor data Two preset thresholds are compared to determine the type of interruption point.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

It should be noted that, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

While preferred embodiments of the invention have been described, additional changes and modifications to these embodiments can be made by those skilled in the art once the basic inventive concept is appreciated. Therefore, it is intended that the appended claims be construed to cover the preferred embodiment as well as all changes and modifications which fall within the scope of the invention.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

In the description of the present invention, it should be understood that the terms "first" and "second" are used for description purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

In the present invention, unless otherwise clearly specified and limited, terms such as "installation", "connection", "connection" and "fixation" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection , or integrated; it can be mechanically connected or electrically connected; it can be directly connected or indirectly connected through an intermediary, and it can be the internal communication of two components or the interaction relationship between two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

In the present invention, unless otherwise clearly specified and limited, the first feature may be in direct contact with the first feature or the first and second feature may be in direct contact with the second feature through an intermediary. touch. Moreover, "above", "above" and "above" the first feature on the second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. "Below", "beneath" and "beneath" the first feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is less horizontally than the second feature.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms should not be understood as necessarily referring to the same embodiment or example. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other.

Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention, those skilled in the art can make the above-mentioned The embodiments are subject to changes, modifications, substitutions and variations.

Claims (10)

1. A sensor data loss analysis method, is characterized in that, comprises the following steps: Acquiring sensor data, wherein the sensor data includes a time stamp and a serial number added during transmission between nodes; sorting the sensor data according to the time stamp, and calculating the serial number difference between two adjacent sensor data according to the sorting result, and judging whether the serial number difference is equal to a first preset threshold; If the serial number difference is not equal to the first preset threshold, it is judged that there is an interruption point between the previous sensor data and the subsequent sensor data, and the absolute value of the serial number difference is divided by the latter serial number of the sensor data to calculate the quotient value; Comparing the quotient with a second preset threshold to determine the type of the interruption point. 2. The sensor data loss analysis method according to claim 1, characterized in that, when the sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added. 3. The sensor data loss analysis method as claimed in claim 2, wherein, when the sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added, specifically: Collect sensor data, and add a corresponding time stamp and serial number for each piece of sensor data, and put the time stamp and serial number at the end of the sensor data; The sensor data is transmitted to the main control board, and a corresponding time stamp and serial number are added to each piece of sensor data, and the time stamp and serial number are put together at the end of the sensor data; The sensor data is transmitted to the platform, and a corresponding time stamp and serial number are added to each piece of sensor data, and the time stamp and serial number are put together at the end of the sensor data. 4. The sensor data loss analysis method according to any one of claims 1-3, wherein comparing the quotient with a second preset threshold to determine the type of the interruption point includes: If the quotient is greater than the second preset threshold, then judging that the interruption point is a restart point; If the quotient is less than or equal to the second preset threshold, it is determined that the interruption point is a lost point. 5. A computer-readable storage medium, characterized in that a sensor data loss analysis program is stored thereon, and when the sensor data loss analysis program is executed by a processor, the sensor according to any one of claims 1-4 is realized Data loss analysis method. 6. A computer device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, characterized in that, when the processor executes the computer program, any A method for analyzing loss of sensor data. 7. A sensor data loss analysis system, characterized in that, comprising: An extraction module, configured to acquire sensor data, wherein the sensor data includes a time stamp and a serial number added during transmission between nodes; The first calculation module is used to sort the sensor data according to the time stamp, calculate the serial number difference between two adjacent sensor data according to the sorting result, and judge whether the serial number difference is equal to the first preset threshold ; The second calculation module is used to determine that there is a break point between the previous sensor data and the next sensor data when the serial number difference is not equal to the first preset threshold, and take the absolute value of the serial number difference dividing by the sequence number of the last piece of sensor data to calculate a quotient, and comparing the quotient with a second preset threshold to determine the type of the interruption point. 8. The sensor data loss analysis system according to claim 7, characterized in that, when the sensor data is transmitted between any two nodes, a time stamp and a serial number need to be added. 9. The sensor data loss analysis system as claimed in claim 8, further comprising: The acquisition module is used to collect sensor data, and add a corresponding time stamp and serial number for each piece of sensor data, and put the time stamp and serial number at the end of the sensor data; The first transmission module is used to transmit the sensor data to the main control board, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number at the end of the sensor data; The second transmission module is configured to transmit the sensor data to the platform, and add a corresponding time stamp and serial number to each piece of sensor data, and put the time stamp and serial number at the end of the sensor data. 10. The sensor data loss analysis system according to any one of claims 7-9, wherein the second calculation module is also used for: If the quotient is greater than the second preset threshold, then judging that the interruption point is a restart point; If the quotient is less than or equal to the second preset threshold, it is determined that the interruption point is a lost point.

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